With funding from NOAA’s Climate Program Office, Rood and colleagues, including lead developer Ben Koziol, a CIRES researcher in NOAA’s Earth System Research Laboratory, have built an open source Python package, OpenClimateGIS, that aids users in the interpretation of climate data.

A study funded by CPO’s Modeling, Analysis, Predictions, and Projections (MAPP) program, titled: “CMIP5 Model Simulations of the Impacts of the Two Types of El Nino on U.S. Winter Temperature,” was accepted for publication by the Journal of Geophysical Research: Atmospheres.

Researched funded by CPO’s MAPP program was published in Nature Climate Change on Feb. 23.  Scientists at NOAA’s Atlantic Oceanographic and Meteorological Laboratory (AOML) led a new study to be published in Nature Climate Change, identifies a path forward to reduce or eliminate global sea surface temperature biases in the Intergovernmental Panel on Climate Change’s (IPCC) Assessments resulting in greater confidence in climate model projections. 

Research funded by CPO’s Modeling, Analysis, Prediction, and Projections (MAPP) program focusing on observed asymmetry in teleconnections between El Nino and La Nina was published in the February issue of Geophysical Research Letters.

CPO's Modeling, Analysis, Predictions and Projections (MAPP) and Earth Systems Sciences (ESS) programs have both provided support for the International Conference on Subseasonal to Seasonal Prediction (S2S). The conference will take place from Feb. 10-13 in College Park, Md. at NOAA's Center for Weather and Climate Prediction.